Off-road intelligent vehicle is an important application about Internet of Vehicles technology used in the transportation field, and\nthe front obstacle recognition method is the key technology for off-road intelligent vehicle. In this paper, based on smart data\naggregation inspired paradigm of IoT applications, we mainly study perception technology in vehicle networking by using image\ndata and one symmetrical speeded-up robust features detector (SURF). By considering symmetry and image data aggregation, we\nfound that data aggregation had the ability of providing global information for Internet of Vehicles systems. After we have built\nthe experiment platform, the experiment results showed that this method is faster than Scale-Invariant Feature Transform\nalgorithmin this case, which can satisfy the water detection accuracy and the real-time requirement. So, thismethod is effective for\nthe water images detection with great symmetry to off-road intelligent vehicle, and it also gives a useful reference about environment\nperception technology and smart data aggregation inspired paradigm used in future Internet of Vehicles, intelligent\nvehicle, and traffic safety applications.
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